Wang, Xiaosong

Deeplesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning

Yan, K., Wang, X., Lu, L., & Summers, R. M. (2018) · Journal of medical imaging

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 573

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan

Yang, D., Xu, Z., Li, W., Myronenko, A., Roth, H. R., Harmon, S., Xu, S., Turkbey, B., Turkbey, E., Wang, X., et al. (2021) · Medical Image Analysis

COVID-19 diagnosis using AIDomain Adaptation and Few-Shot Learning

Cited by 279

NegBio: a high-performance tool for negation and uncertainty detection in radiology reports

Peng, Y., Wang, X., Lu, L., Bagheri, M., Summers, R., & Lu, Z. (2017) · arXiv

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 175

Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database

Yan, K., Wang, X., Lu, L., Zhang, L., Harrison, A. P., Bagheri, M., & Summers, R. M. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Radiomics and Machine Learning in Medical ImagingImage Retrieval and Classification Techniques

Cited by 150

DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations

Yan, K., Wang, X., Lu, L., & Summers, R. M. (2017) · arXiv

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 40

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation

Zhang, L., Wang, X., Yang, D., Sanford, T., Harmon, S., Turkbey, B., Roth, H., Myronenko, A., Xu, D., & Xu, Z. (2019) · arXiv

Domain Adaptation and Few-Shot LearningMedical Image Segmentation Techniques

Cited by 36